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Update meteorite database: 1,180 meteorites

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  1. README.md +4 -8
  2. data/meteorites.parquet +2 -2
README.md CHANGED
@@ -43,8 +43,8 @@ achondrites, iron meteorites) and recorded either as *falls* (witnessed descent)
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  *finds* (recovered without observation).
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  This dataset aggregates Wikidata entries for all entities of type Q60186 (meteorite), pulling
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- structured properties including mass (P2067), fall date (P585), country (P17), coordinates
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- (P625), and mineralogical class (P279). It complements NASA and Meteoritical Society
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  databases with Wikidata's multilingual, cross-linked knowledge graph.
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  ## Schema
@@ -59,18 +59,17 @@ databases with Wikidata's multilingual, cross-linked knowledge graph.
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  | `country` | string | Country of recovery |
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  | `latitude` | float | Recovery latitude (decimal degrees) |
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  | `longitude` | float | Recovery longitude (decimal degrees) |
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- | `fall_or_find` | string | "Fall" (witnessed) or "Find" (unwitnessed recovery) |
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  ## Quick stats
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  - **1,180** meteorites total
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  - **368** with recorded mass
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  - **415** with geographic coordinates
 
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  - **55** countries of recovery
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- - **0** falls, **0** finds
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  - Heaviest: Allende meteorite (2,000,000 g)
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  - Top countries: United States (39), Australia (13), Argentina (10), Germany (10), France (9)
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- - Top classifications:
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  ## Usage
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@@ -83,9 +82,6 @@ df = ds.to_pandas()
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  # Heaviest meteorites
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  print(df.nlargest(10, "mass_g")[["name", "mass_g", "country", "classification"]])
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- # Falls vs finds
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- print(df["fall_or_find"].value_counts())
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-
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  # Meteorites by country
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  print(df["country"].value_counts().head(10))
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  *finds* (recovered without observation).
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  This dataset aggregates Wikidata entries for all entities of type Q60186 (meteorite), pulling
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+ structured properties including mass (P2067), fall/discovery date (P585/P575), country (P17),
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+ coordinates (P625), and mineralogical class (via P31 subclass hierarchy). It complements NASA and Meteoritical Society
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  databases with Wikidata's multilingual, cross-linked knowledge graph.
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  ## Schema
 
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  | `country` | string | Country of recovery |
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  | `latitude` | float | Recovery latitude (decimal degrees) |
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  | `longitude` | float | Recovery longitude (decimal degrees) |
 
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  ## Quick stats
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  - **1,180** meteorites total
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  - **368** with recorded mass
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  - **415** with geographic coordinates
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+ - **125** with classification
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  - **55** countries of recovery
 
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  - Heaviest: Allende meteorite (2,000,000 g)
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  - Top countries: United States (39), Australia (13), Argentina (10), Germany (10), France (9)
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+ - Top classifications: iron meteorite (21), chondrite (17), H chondrite (17), L chondrite (11), ordinary chondrite (11)
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  ## Usage
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  # Heaviest meteorites
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  print(df.nlargest(10, "mass_g")[["name", "mass_g", "country", "classification"]])
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  # Meteorites by country
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  print(df["country"].value_counts().head(10))
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